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---
type: reference, dev
stage: none
group: Development
info: "See the Technical Writers assigned to Development Guidelines: https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments-to-development-guidelines"
---
# Secure Coding Guidelines
This document contains descriptions and guidelines for addressing security
vulnerabilities commonly identified in the GitLab codebase. They are intended
to help developers identify potential security vulnerabilities early, with the
goal of reducing the number of vulnerabilities released over time.
**Contributing**
If you would like to contribute to one of the existing documents, or add
guidelines for a new vulnerability type, please open an MR! Please try to
include links to examples of the vulnerability found, and link to any resources
used in defined mitigations. If you have questions or when ready for a review,
please ping `gitlab-com/gl-security/appsec`.
## Permissions
### Description
Application permissions are used to determine who can access what and what actions they can perform.
For more information about the permission model at GitLab, please see [the GitLab permissions guide](permissions.md) or the [EE docs on permissions](../../ee/user/permissions.md).
### Impact
Improper permission handling can have significant impacts on the security of an application.
Some situations may reveal [sensitive data](https://gitlab.com/gitlab-com/gl-infra/production/-/issues/477) or allow a malicious actor to perform [harmful actions](https://gitlab.com/gitlab-org/gitlab/-/issues/8180).
The overall impact depends heavily on what resources can be accessed or modified improperly.
A common vulnerability when permission checks are missing is called [IDOR](https://owasp.org/www-project-web-security-testing-guide/latest/4-Web_Application_Security_Testing/05-Authorization_Testing/04-Testing_for_Insecure_Direct_Object_References) for Insecure Direct Object References.
### When to Consider
Each time you implement a new feature/endpoint, whether it is at UI, API or GraphQL level.
### Mitigations
**Start by writing tests** around permissions: unit and feature specs should both include tests based around permissions
- Fine-grained, nitty-gritty specs for permissions are good: it is ok to be verbose here
- Make assertions based on the actors and objects involved: can a user or group or XYZ perform this action on this object?
- Consider defining them upfront with stakeholders, particularly for the edge cases
- Do not forget **abuse cases**: write specs that **make sure certain things can't happen**
- A lot of specs are making sure things do happen and coverage percentage doesn't take into account permissions as same piece of code is used.
- Make assertions that certain actors cannot perform actions
- Naming convention to ease auditability: to be defined, for example, a subfolder containing those specific permission tests or a `#permissions` block
Be careful to **also test [visibility levels](https://gitlab.com/gitlab-org/gitlab-foss/-/blob/master/doc/development/permissions.md#feature-specific-permissions)** and not only project access rights.
Some example of well implemented access controls and tests:
1. [example1](https://dev.gitlab.org/gitlab/gitlab-ee/-/merge_requests/710/diffs?diff_id=13750#af40ef0eaae3c1e018809e1d88086e32bccaca40_43_43)
1. [example2](https://dev.gitlab.org/gitlab/gitlabhq/-/merge_requests/2511/diffs#ed3aaab1510f43b032ce345909a887e5b167e196_142_155)
1. [example3](https://dev.gitlab.org/gitlab/gitlabhq/-/merge_requests/3170/diffs?diff_id=17494)
**NB:** any input from development team is welcome, for example, about RuboCop rules.
## Regular Expressions guidelines
### Anchors / Multi line
Unlike other programming languages (for example, Perl or Python) Regular Expressions are matching multi-line by default in Ruby. Consider the following example in Python:
```python
import re
text = "foo\nbar"
matches = re.findall("^bar$",text)
print(matches)
```
The Python example will output an empty array (`[]`) as the matcher considers the whole string `foo\nbar` including the newline (`\n`). In contrast Ruby's Regular Expression engine acts differently:
```ruby
text = "foo\nbar"
p text.match /^bar$/
```
The output of this example is `#<MatchData "bar">`, as Ruby treats the input `text` line by line. In order to match the whole __string__ the Regex anchors `\A` and `\z` should be used.
#### Impact
This Ruby Regex specialty can have security impact, as often regular expressions are used for validations or to impose restrictions on user-input.
#### Examples
GitLab-specific examples can be found in the following [path traversal](https://gitlab.com/gitlab-org/gitlab/-/issues/36029#note_251262187)
and [open redirect](https://gitlab.com/gitlab-org/gitlab/-/issues/33569) issues.
Another example would be this fictional Ruby on Rails controller:
```ruby
class PingController < ApplicationController
def ping
if params[:ip] =~ /^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$/
render :text => `ping -c 4 #{params[:ip]}`
else
render :text => "Invalid IP"
end
end
end
```
Here `params[:ip]` should not contain anything else but numbers and dots. However this restriction can be easily bypassed as the Regex anchors `^` and `$` are being used. Ultimately this leads to a shell command injection in `ping -c 4 #{params[:ip]}` by using newlines in `params[:ip]`.
#### Mitigation
In most cases the anchors `\A` for beginning of text and `\z` for end of text should be used instead of `^` and `$`.
## Denial of Service (ReDoS) / Catastrophic Backtracking
When a regular expression (regex) is used to search for a string and can't find a match,
it may then backtrack to try other possibilities.
For example when the regex `.*!$` matches the string `hello!`, the `.*` first matches
the entire string but then the `!` from the regex is unable to match because the
character has already been used. In that case, the Ruby regex engine _backtracks_
one character to allow the `!` to match.
[ReDoS](https://owasp.org/www-community/attacks/Regular_expression_Denial_of_Service_-_ReDoS)
is an attack in which the attacker knows or controls the regular expression used.
The attacker may be able to enter user input that triggers this backtracking behavior in a
way that increases execution time by several orders of magnitude.
### Impact
The resource, for example Puma, or Sidekiq, can be made to hang as it takes
a long time to evaluate the bad regex match. The evaluation time may require manual
termination of the resource.
### Examples
Here are some GitLab-specific examples.
User inputs used to create regular expressions:
- [User-controlled filename](https://gitlab.com/gitlab-org/gitlab/-/issues/257497)
- [User-controlled domain name](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/25314)
- [User-controlled email address](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/25122#note_289087459)
Hardcoded regular expressions with backtracking issues:
- [Repository name validation](https://gitlab.com/gitlab-org/gitlab/-/issues/220019)
- [Link validation](https://gitlab.com/gitlab-org/gitlab/-/issues/218753), and [a bypass](https://gitlab.com/gitlab-org/gitlab/-/issues/273771)
- [Entity name validation](https://gitlab.com/gitlab-org/gitlab/-/issues/289934)
- [Validating color codes](https://gitlab.com/gitlab-org/gitlab/commit/717824144f8181bef524592eab882dd7525a60ef)
Consider the following example application, which defines a check using a regular expression. A user entering `user@aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa!.com` as the email on a form will hang the web server.
```ruby
class Email < ApplicationRecord
DOMAIN_MATCH = Regexp.new('([a-zA-Z0-9]+)+\.com')
validates :domain_matches
private
def domain_matches
errors.add(:email, 'does not match') if email =~ DOMAIN_MATCH
end
end
```
### Mitigation
#### Ruby
GitLab has [`Gitlab::UntrustedRegexp`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/untrusted_regexp.rb)
which internally uses the [`re2`](https://github.com/google/re2/wiki/Syntax) library.
`re2` does not support backtracking so we get constant execution time, and a smaller subset of available regex features.
All user-provided regular expressions should use `Gitlab::UntrustedRegexp`.
For other regular expressions, here are a few guidelines:
- If there's a clean non-regex solution, such as `String#start_with?`, consider using it
- Ruby supports some advanced regex features like [atomic groups](https://www.regular-expressions.info/atomic.html)
and [possessive quantifiers](https://www.regular-expressions.info/possessive.html) that eliminate backtracking
- Avoid nested quantifiers if possible (for example `(a+)+`)
- Try to be as precise as possible in your regex and avoid the `.` if there's an alternative
- For example, Use `_[^_]+_` instead of `_.*_` to match `_text here_`
- Use reasonable ranges (for example, `{1,10}`) for repeating patterns instead of unbounded `*` and `+` matchers
- When possible, perform simple input validation such as maximum string length checks before using regular expressions
- If in doubt, don't hesitate to ping `@gitlab-com/gl-security/appsec`
#### Go
Go's [`regexp`](https://pkg.go.dev/regexp) package uses `re2` and isn't vulnerable to backtracking issues.
### Further Links
- [Rubular](https://rubular.com/) is a nice online tool to fiddle with Ruby Regexps.
- [Runaway Regular Expressions](https://www.regular-expressions.info/catastrophic.html)
- [The impact of regular expression denial of service (ReDoS) in practice: an empirical study at the ecosystem scale](https://davisjam.github.io/files/publications/DavisCoghlanServantLee-EcosystemREDOS-ESECFSE18.pdf). This research paper discusses approaches to automatically detect ReDoS vulnerabilities.
- [Freezing the web: A study of ReDoS vulnerabilities in JavaScript-based web servers](https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-staicu.pdf). Another research paper about detecting ReDoS vulnerabilities.
## Server Side Request Forgery (SSRF)
### Description
A [Server-side Request Forgery (SSRF)](https://www.hackerone.com/application-security/how-server-side-request-forgery-ssrf) is an attack in which an attacker
is able coerce a application into making an outbound request to an unintended
resource. This resource is usually internal. In GitLab, the connection most
commonly uses HTTP, but an SSRF can be performed with any protocol, such as
Redis or SSH.
With an SSRF attack, the UI may or may not show the response. The latter is
called a Blind SSRF. While the impact is reduced, it can still be useful for
attackers, especially for mapping internal network services as part of recon.
### Impact
The impact of an SSRF can vary, depending on what the application server
can communicate with, how much the attacker can control of the payload, and
if the response is returned back to the attacker. Examples of impact that
have been reported to GitLab include:
- Network mapping of internal services
- This can help an attacker gather information about internal services
that could be used in further attacks. [More details](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/51327).
- Reading internal services, including cloud service metadata.
- The latter can be a serious problem, because an attacker can obtain keys that allow control of the victim's cloud infrastructure. (This is also a good reason
to give only necessary privileges to the token.). [More details](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/51490).
- When combined with CRLF vulnerability, remote code execution. [More details](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/41293).
### When to Consider
- When the application makes any outbound connection
### Mitigations
In order to mitigate SSRF vulnerabilities, it is necessary to validate the destination of the outgoing request, especially if it includes user-supplied information.
The preferred SSRF mitigations within GitLab are:
1. Only connect to known, trusted domains/IP addresses.
1. Use the [GitLab::HTTP](#gitlab-http-library) library
1. Implement [feature-specific mitigations](#feature-specific-mitigations)
#### GitLab HTTP Library
The [GitLab::HTTP](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/http.rb) wrapper library has grown to include mitigations for all of the GitLab-known SSRF vectors. It is also configured to respect the
`Outbound requests` options that allow instance administrators to block all internal connections, or limit the networks to which connections can be made.
In some cases, it has been possible to configure GitLab::HTTP as the HTTP
connection library for 3rd-party gems. This is preferable over re-implementing
the mitigations for a new feature.
- [More details](https://dev.gitlab.org/gitlab/gitlabhq/-/merge_requests/2530/diffs)
#### URL blocker & validation libraries
[`Gitlab::UrlBlocker`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/lib/gitlab/url_blocker.rb) can be used to validate that a
provided URL meets a set of constraints. Importantly, when `dns_rebind_protection` is `true`, the method returns a known-safe URI where the hostname
has been replaced with an IP address. This prevents DNS rebinding attacks, because the DNS record has been resolved. However, if we ignore this returned
value, we **will not** be protected against DNS rebinding.
This is the case with validators such as the `AddressableUrlValidator` (called with `validates :url, addressable_url: {opts}` or `public_url: {opts}`).
Validation errors are only raised when validations are called, for example when a record is created or saved. If we ignore the value returned by the validation
when persisting the record, **we need to recheck** its validity before using it. You can learn more about [Time of Check to Time of Use bugs](#time-of-check-to-time-of-use-bugs) in a later section
of these guidelines.
#### Feature-specific mitigations
There are many tricks to bypass common SSRF validations. If feature-specific mitigations are necessary, they should be reviewed by the AppSec team, or a developer who has worked on SSRF mitigations previously.
For situations in which you can't use an allowlist or GitLab:HTTP, you must implement mitigations
directly in the feature. It's best to validate the destination IP addresses themselves, not just
domain names, as the attacker can control DNS. Below is a list of mitigations that you should
implement.
- Block connections to all localhost addresses
- `127.0.0.1/8` (IPv4 - note the subnet mask)
- `::1` (IPv6)
- Block connections to networks with private addressing (RFC 1918)
- `10.0.0.0/8`
- `172.16.0.0/12`
- `192.168.0.0/24`
- Block connections to link-local addresses (RFC 3927)
- `169.254.0.0/16`
- In particular, for GCP: `metadata.google.internal` -> `169.254.169.254`
- For HTTP connections: Disable redirects or validate the redirect destination
- To mitigate DNS rebinding attacks, validate and use the first IP address received.
See [`url_blocker_spec.rb`](https://gitlab.com/gitlab-org/gitlab/-/blob/master/spec/lib/gitlab/url_blocker_spec.rb) for examples of SSRF payloads. See [time of check to time of use bugs](#time-of-check-to-time-of-use-bugs) to learn more about DNS rebinding's class of bug.
Don't rely on methods like `.start_with?` when validating a URL, or make assumptions about which
part of a string maps to which part of a URL. Use the `URI` class to parse the string, and validate
each component (scheme, host, port, path, and so on). Attackers can create valid URLs which look
safe, but lead to malicious locations.
```ruby
user_supplied_url = "https://my-safe-site.com@my-evil-site.com" # Content before an @ in a URL is usually for basic authentication
user_supplied_url.start_with?("https://my-safe-site.com") # Don't trust with start_with? for URLs!
=> true
URI.parse(user_supplied_url).host
=> "my-evil-site.com"
user_supplied_url = "https://my-safe-site.com-my-evil-site.com"
user_supplied_url.start_with?("https://my-safe-site.com") # Don't trust with start_with? for URLs!
=> true
URI.parse(user_supplied_url).host
=> "my-safe-site.com-my-evil-site.com"
# Here's an example where we unsafely attempt to validate a host while allowing for
# subdomains
user_supplied_url = "https://my-evil-site-my-safe-site.com"
user_supplied_host = URI.parse(user_supplied_url).host
=> "my-evil-site-my-safe-site.com"
user_supplied_host.end_with?("my-safe-site.com") # Don't trust with end_with?
=> true
```
## XSS guidelines
### Description
Cross site scripting (XSS) is an issue where malicious JavaScript code gets injected into a trusted web application and executed in a client's browser. The input is intended to be data, but instead gets treated as code by the browser.
XSS issues are commonly classified in three categories, by their delivery method:
- [Persistent XSS](https://owasp.org/www-community/Types_of_Cross-Site_Scripting#stored-xss-aka-persistent-or-type-i)
- [Reflected XSS](https://owasp.org/www-community/Types_of_Cross-Site_Scripting#reflected-xss-aka-non-persistent-or-type-ii)
- [DOM XSS](https://owasp.org/www-community/Types_of_Cross-Site_Scripting#dom-based-xss-aka-type-0)
### Impact
The injected client-side code is executed on the victim's browser in the context of their current session. This means the attacker could perform any same action the victim would normally be able to do through a browser. The attacker would also have the ability to:
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [log victim keystrokes](https://youtu.be/2VFavqfDS6w?t=1367)
- launch a network scan from the victim's browser
- potentially <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [obtain the victim's session tokens](https://youtu.be/2VFavqfDS6w?t=739)
- perform actions that lead to data loss/theft or account takeover
Much of the impact is contingent upon the function of the application and the capabilities of the victim's session. For further impact possibilities, please check out [the beef project](https://beefproject.com/).
For a demonstration of the impact on GitLab with a realistic attack scenario, see [this video on the GitLab Unfiltered channel](https://www.youtube.com/watch?v=t4PzHNycoKo) (internal, it requires being logged in with the GitLab Unfiltered account).
### When to consider?
When user submitted data is included in responses to end users, which is just about anywhere.
### Mitigation
In most situations, a two-step solution can be used: input validation and output encoding in the appropriate context.
#### Input validation
- [Input Validation](https://youtu.be/2VFavqfDS6w?t=7489)
##### Setting expectations
For any and all input fields, ensure to define expectations on the type/format of input, the contents, <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [size limits](https://youtu.be/2VFavqfDS6w?t=7582), the context in which it will be output. It's important to work with both security and product teams to determine what is considered acceptable input.
##### Validate input
- Treat all user input as untrusted.
- Based on the expectations you [defined above](#setting-expectations):
- Validate the <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [input size limits](https://youtu.be/2VFavqfDS6w?t=7582).
- Validate the input using an <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [allowlist approach](https://youtu.be/2VFavqfDS6w?t=7816) to only allow characters through which you are expecting to receive for the field.
- Input which fails validation should be **rejected**, and not sanitized.
- When adding redirects or links to a user-controlled URL, ensure that the scheme is HTTP or HTTPS. Allowing other schemes like `javascript://` can lead to XSS and other security issues.
Note that denylists should be avoided, as it is near impossible to block all [variations of XSS](https://owasp.org/www-community/xss-filter-evasion-cheatsheet).
#### Output encoding
Once you've [determined when and where](#setting-expectations) the user submitted data will be output, it's important to encode it based on the appropriate context. For example:
- Content placed inside HTML elements need to be [HTML entity encoded](https://cheatsheetseries.owasp.org/cheatsheets/Cross_Site_Scripting_Prevention_Cheat_Sheet.html#rule-1---html-escape-before-inserting-untrusted-data-into-html-element-content).
- Content placed into a JSON response needs to be [JSON encoded](https://cheatsheetseries.owasp.org/cheatsheets/Cross_Site_Scripting_Prevention_Cheat_Sheet.html#rule-31---html-escape-json-values-in-an-html-context-and-read-the-data-with-jsonparse).
- Content placed inside <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [HTML URL GET parameters](https://youtu.be/2VFavqfDS6w?t=3494) need to be [URL-encoded](https://cheatsheetseries.owasp.org/cheatsheets/Cross_Site_Scripting_Prevention_Cheat_Sheet.html#rule-5---url-escape-before-inserting-untrusted-data-into-html-url-parameter-values)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Additional contexts may require context-specific encoding](https://youtu.be/2VFavqfDS6w?t=2341).
### Additional information
#### XSS mitigation and prevention in Rails
By default, Rails automatically escapes strings when they are inserted into HTML templates. Avoid the
methods used to keep Rails from escaping strings, especially those related to user-controlled values.
Specifically, the following options are dangerous because they mark strings as trusted and safe:
| Method | Avoid these options |
|----------------------|-------------------------------|
| HAML templates | `html_safe`, `raw`, `!=` |
| Embedded Ruby (ERB) | `html_safe`, `raw`, `<%== %>` |
In case you want to sanitize user-controlled values against XSS vulnerabilities, you can use
[`ActionView::Helpers::SanitizeHelper`](https://api.rubyonrails.org/classes/ActionView/Helpers/SanitizeHelper.html).
Calling `link_to` and `redirect_to` with user-controlled parameters can also lead to cross-site scripting.
Do also sanitize and validate URL schemes.
References:
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS Defense in Rails](https://youtu.be/2VFavqfDS6w?t=2442)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS Defense with HAML](https://youtu.be/2VFavqfDS6w?t=2796)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Validating Untrusted URLs in Ruby](https://youtu.be/2VFavqfDS6w?t=3936)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [RoR Model Validators](https://youtu.be/2VFavqfDS6w?t=7636)
#### XSS mitigation and prevention in JavaScript and Vue
- When updating the content of an HTML element using JavaScript, mark user-controlled values as `textContent` or `nodeValue` instead of `innerHTML`.
- Avoid using `v-html` with user-controlled data, use [`v-safe-html`](https://gitlab-org.gitlab.io/gitlab-ui/?path=/story/directives-safe-html-directive--default) instead.
- Render unsafe or unsanitized content using [`dompurify`](fe_guide/security.md#sanitize-html-output).
- Consider using [`gl-sprintf`](../../ee/development/i18n/externalization.md#interpolation) to interpolate translated strings securely.
- Avoid `__()` with translations that contain user-controlled values.
- When working with `postMessage`, ensure the `origin` of the message is allowlisted.
- Consider using the [Safe Link Directive](https://gitlab-org.gitlab.io/gitlab-ui/?path=/story/directives-safe-link-directive--default) to generate secure hyperlinks by default.
#### GitLab specific libraries for mitigating XSS
##### Vue
- [isSafeURL](https://gitlab.com/gitlab-org/gitlab/-/blob/v12.7.5-ee/app/assets/javascripts/lib/utils/url_utility.js#L190-207)
- [GlSprintf](https://gitlab-org.gitlab.io/gitlab-ui/?path=/story/utilities-sprintf--default)
#### Content Security Policy
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Content Security Policy](https://www.youtube.com/watch?v=2VFavqfDS6w&t=12991s)
- [Use nonce-based Content Security Policy for inline JavaScript](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/65330)
#### Free form input field
### Select examples of past XSS issues affecting GitLab
- [Stored XSS in user status](https://gitlab.com/gitlab-org/gitlab-foss/issues/55320)
- [XSS vulnerability on custom project templates form](https://gitlab.com/gitlab-org/gitlab/-/issues/197302)
- [Stored XSS in branch names](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/55320)
- [Stored XSS in merge request pages](https://gitlab.com/gitlab-org/gitlab/-/issues/35096)
### Internal Developer Training
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Introduction to XSS](https://www.youtube.com/watch?v=PXR8PTojHmc&t=7785s)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Reflected XSS](https://youtu.be/2VFavqfDS6w?t=603s)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Persistent XSS](https://youtu.be/2VFavqfDS6w?t=643)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [DOM XSS](https://youtu.be/2VFavqfDS6w?t=5871)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS in depth](https://www.youtube.com/watch?v=2VFavqfDS6w&t=111s)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS Defense](https://youtu.be/2VFavqfDS6w?t=1685)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS Defense in Rails](https://youtu.be/2VFavqfDS6w?t=2442)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [XSS Defense with HAML](https://youtu.be/2VFavqfDS6w?t=2796)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [JavaScript URLs](https://youtu.be/2VFavqfDS6w?t=3274)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [URL encoding context](https://youtu.be/2VFavqfDS6w?t=3494)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Validating Untrusted URLs in Ruby](https://youtu.be/2VFavqfDS6w?t=3936)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [HTML Sanitization](https://youtu.be/2VFavqfDS6w?t=5075)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [DOMPurify](https://youtu.be/2VFavqfDS6w?t=5381)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Safe Client-side JSON Handling](https://youtu.be/2VFavqfDS6w?t=6334)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [iframe sandboxing](https://youtu.be/2VFavqfDS6w?t=7043)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Input Validation](https://youtu.be/2VFavqfDS6w?t=7489)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Validate size limits](https://youtu.be/2VFavqfDS6w?t=7582)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [RoR model validators](https://youtu.be/2VFavqfDS6w?t=7636)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Allowlist input validation](https://youtu.be/2VFavqfDS6w?t=7816)
- <i class="fa fa-youtube-play youtube" aria-hidden="true"></i> [Content Security Policy](https://www.youtube.com/watch?v=2VFavqfDS6w&t=12991s)
## Path Traversal guidelines
### Description
Path Traversal vulnerabilities grant attackers access to arbitrary directories and files on the server that is executing an application. This data can include data, code or credentials.
Traversal can occur when a path includes directories. A typical malicious example includes one or more `../`, which tells the file system to look in the parent directory. Supplying many of them in a path, for example `../../../../../../../etc/passwd`, usually resolves to `/etc/passwd`. If the file system is instructed to look back to the root directory and can't go back any further, then extra `../` are ignored. The file system then looks from the root, resulting in `/etc/passwd` - a file you definitely do not want exposed to a malicious attacker!
### Impact
Path Traversal attacks can lead to multiple critical and high severity issues, like arbitrary file read, remote code execution or information disclosure.
### When to consider
When working with user-controlled filenames/paths and file system APIs.
### Mitigation and prevention
In order to prevent Path Traversal vulnerabilities, user-controlled filenames or paths should be validated before being processed.
- Comparing user input against an allowlist of allowed values or verifying that it only contains allowed characters.
- After validating the user supplied input, it should be appended to the base directory and the path should be canonicalized using the file system API.
#### GitLab specific validations
The methods `Gitlab::Utils.check_path_traversal!()` and `Gitlab::Utils.check_allowed_absolute_path!()`
can be used to validate user-supplied paths and prevent vulnerabilities.
`check_path_traversal!()` will detect their Path Traversal payloads and accepts URL-encoded paths.
`check_allowed_absolute_path!()` will check if a path is absolute and whether it is inside the allowed path list. By default, absolute
paths are not allowed, so you need to pass a list of allowed absolute paths to the `path_allowlist`
parameter when using `check_allowed_absolute_path!()`.
To use a combination of both checks, follow the example below:
```ruby
Gitlab::Utils.check_allowed_absolute_path_and_path_traversal!(path, path_allowlist)
```
In the REST API, we have the [`FilePath`](https://gitlab.com/gitlab-org/security/gitlab/-/blob/master/lib/api/validations/validators/file_path.rb)
validator that can be used to perform the checking on any file path argument the endpoints have.
It can be used as follows:
```ruby
requires :file_path, type: String, file_path: { allowlist: ['/foo/bar/', '/home/foo/', '/app/home'] }
```
The Path Traversal check can also be used to forbid any absolute path:
```ruby
requires :file_path, type: String, file_path: true
```
Absolute paths are not allowed by default. If allowing an absolute path is required, you
need to provide an array of paths to the parameter `allowlist`.
### Misleading behavior
Some methods used to construct file paths can have non-intuitive behavior. To properly validate user input, be aware
of these behaviors.
#### Ruby
The Ruby method [`Pathname.join`](https://ruby-doc.org/stdlib-2.7.4/libdoc/pathname/rdoc/Pathname.html#method-i-join)
joins path names. Using methods in a specific way can result in a path name typically prohibited in
normal use. In the examples below, we see attempts to access `/etc/passwd`, which is a sensitive file:
```ruby
require 'pathname'
p = Pathname.new('tmp')
print(p.join('log', 'etc/passwd', 'foo'))
# => tmp/log/etc/passwd/foo
```
Assuming the second parameter is user-supplied and not validated, submitting a new absolute path
results in a different path:
```ruby
print(p.join('log', '/etc/passwd', ''))
# renders the path to "/etc/passwd", which is not what we expect!
```
#### Golang
Golang has similar behavior with [`path.Clean`](https://pkg.go.dev/path#example-Clean). Remember that with many file systems, using `../../../../` traverses up to the root directory. Any remaining `../` are ignored. This example may give an attacker access to `/etc/passwd`:
```golang
path.Clean("/../../etc/passwd")
// renders the path to "etc/passwd"; the file path is relative to whatever the current directory is
path.Clean("../../etc/passwd")
// renders the path to "../../etc/passwd"; the file path will look back up to two parent directories!
```
## OS command injection guidelines
Command injection is an issue in which an attacker is able to execute arbitrary commands on the host
operating system through a vulnerable application. Such attacks don't always provide feedback to a
user, but the attacker can use simple commands like `curl` to obtain an answer.
### Impact
The impact of command injection greatly depends on the user context running the commands, as well as
how data is validated and sanitized. It can vary from low impact because the user running the
injected commands has limited rights, to critical impact if running as the root user.
Potential impacts include:
- Execution of arbitrary commands on the host machine.
- Unauthorized access to sensitive data, including passwords and tokens in secrets or configuration
files.
- Exposure of sensitive system files on the host machine, such as `/etc/passwd/` or `/etc/shadow`.
- Compromise of related systems and services gained through access to the host machine.
You should be aware of and take steps to prevent command injection when working with user-controlled
data that are used to run OS commands.
### Mitigation and prevention
To prevent OS command injections, user-supplied data shouldn't be used within OS commands. In cases
where you can't avoid this:
- Validate user-supplied data against an allowlist.
- Ensure that user-supplied data only contains alphanumeric characters (and no syntax or whitespace
characters, for example).
- Always use `--` to separate options from arguments.
#### Ruby
Consider using `system("command", "arg0", "arg1", ...)` whenever you can. This prevents an attacker
from concatenating commands.
For more examples on how to use shell commands securely, consult
[Guidelines for shell commands in the GitLab codebase](shell_commands.md).
It contains various examples on how to securely call OS commands.
#### Go
Go has built-in protections that usually prevent an attacker from successfully injecting OS commands.
Consider the following example:
```golang
package main
import (
"fmt"
"os/exec"
)
func main() {
cmd := exec.Command("echo", "1; cat /etc/passwd")
out, _ := cmd.Output()
fmt.Printf("%s", out)
}
```
This echoes `"1; cat /etc/passwd"`.
**Do not** use `sh`, as it bypasses internal protections:
```golang
out, _ = exec.Command("sh", "-c", "echo 1 | cat /etc/passwd").Output()
```
This outputs `1` followed by the content of `/etc/passwd`.
## General recommendations
### TLS minimum recommended version
As we have [moved away from supporting TLS 1.0 and 1.1](https://about.gitlab.com/blog/2018/10/15/gitlab-to-deprecate-older-tls/), you must use TLS 1.2 and above.
#### Ciphers
We recommend using the ciphers that Mozilla is providing in their [recommended SSL configuration generator](https://ssl-config.mozilla.org/#server=go&version=1.17&config=intermediate&guideline=5.6) for TLS 1.2:
- `ECDHE-ECDSA-AES128-GCM-SHA256`
- `ECDHE-RSA-AES128-GCM-SHA256`
- `ECDHE-ECDSA-AES256-GCM-SHA384`
- `ECDHE-RSA-AES256-GCM-SHA384`
And the following cipher suites (according to the [RFC 8446](https://datatracker.ietf.org/doc/html/rfc8446#appendix-B.4)) for TLS 1.3:
- `TLS_AES_128_GCM_SHA256`
- `TLS_AES_256_GCM_SHA384`
*Note*: **Golang** does [not support](https://github.com/golang/go/blob/go1.17/src/crypto/tls/cipher_suites.go#L676) all cipher suites with TLS 1.3.
##### Implementation examples
##### TLS 1.3
For TLS 1.3, **Golang** only supports [3 cipher suites](https://github.com/golang/go/blob/go1.17/src/crypto/tls/cipher_suites.go#L676), as such we only need to set the TLS version:
```golang
cfg := &tls.Config{
MinVersion: tls.VersionTLS13,
}
```
For **Ruby**, you can use [`HTTParty`](https://github.com/jnunemaker/httparty) and specify TLS 1.3 version as well as ciphers:
Whenever possible this example should be **avoided** for security purposes:
```ruby
response = HTTParty.get('https://gitlab.com', ssl_version: :TLSv1_3, ciphers: ['TLS_AES_128_GCM_SHA256', 'TLS_AES_256_GCM_SHA384'])
```
When using [`GitLab::HTTP`](#gitlab-http-library), the code looks like:
This is the **recommended** implementation to avoid security issues such as SSRF:
```ruby
response = GitLab::HTTP.perform_request(Net::HTTP::Get, 'https://gitlab.com', ssl_version: :TLSv1_3, ciphers: ['TLS_AES_128_GCM_SHA256', 'TLS_AES_256_GCM_SHA384'])
```
##### TLS 1.2
**Golang** does support multiple cipher suites that we do not want to use with TLS 1.2. We need to explicitly list authorized ciphers:
```golang
func secureCipherSuites() []uint16 {
return []uint16{
tls.TLS_ECDHE_ECDSA_WITH_AES_128_GCM_SHA256,
tls.TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256,
tls.TLS_ECDHE_ECDSA_WITH_AES_256_GCM_SHA384,
tls.TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384,
}
```
And then use `secureCipherSuites()` in `tls.Config`:
```golang
tls.Config{
(...),
CipherSuites: secureCipherSuites(),
MinVersion: tls.VersionTLS12,
(...),
}
```
This example was taken [from the GitLab Agent](https://gitlab.com/gitlab-org/cluster-integration/gitlab-agent/-/blob/871b52dc700f1a66f6644fbb1e78a6d463a6ff83/internal/tool/tlstool/tlstool.go#L72).
For **Ruby**, you can use again [`HTTParty`](https://github.com/jnunemaker/httparty) and specify this time TLS 1.2 version alongside with the recommended ciphers:
```ruby
response = GitLab::HTTP.perform_request(Net::HTTP::Get, 'https://gitlab.com', ssl_version: :TLSv1_2, ciphers: ['ECDHE-ECDSA-AES128-GCM-SHA256', 'ECDHE-RSA-AES128-GCM-SHA256', 'ECDHE-ECDSA-AES256-GCM-SHA384', 'ECDHE-RSA-AES256-GCM-SHA384'])
```
## GitLab Internal Authorization
### Introduction
There are some cases where `users` passed in the code is actually referring to a `DeployToken`/`DeployKey` entity instead of a real `User`, because of the code below in **`/lib/api/api_guard.rb`**
```ruby
def find_user_from_sources
strong_memoize(:find_user_from_sources) do
deploy_token_from_request ||
find_user_from_bearer_token ||
find_user_from_job_token ||
user_from_warden
end
end
```
### Past Vulnerable Code
In some scenarios such as [this one](https://gitlab.com/gitlab-org/gitlab/-/issues/237795), user impersonation is possible because a `DeployToken` ID can be used in place of a `User` ID. This happened because there was no check on the line with `Gitlab::Auth::CurrentUserMode.bypass_session!(user.id)`. In this case, the `id` is actually a `DeployToken` ID instead of a `User` ID.
```ruby
def find_current_user!
user = find_user_from_sources
return unless user
# Sessions are enforced to be unavailable for API calls, so ignore them for admin mode
Gitlab::Auth::CurrentUserMode.bypass_session!(user.id) if Gitlab::CurrentSettings.admin_mode
unless api_access_allowed?(user)
forbidden!(api_access_denied_message(user))
end
```
### Best Practices
In order to prevent this from happening, it is recommended to use the method `user.is_a?(User)` to make sure it returns `true` when we are expecting to deal with a `User` object. This could prevent the ID confusion from the method `find_user_from_sources` mentioned above. Below code snippet shows the fixed code after applying the best practice to the vulnerable code above.
```ruby
def find_current_user!
user = find_user_from_sources
return unless user
if user.is_a?(User) && Gitlab::CurrentSettings.admin_mode
# Sessions are enforced to be unavailable for API calls, so ignore them for admin mode
Gitlab::Auth::CurrentUserMode.bypass_session!(user.id)
end
unless api_access_allowed?(user)
forbidden!(api_access_denied_message(user))
end
```
## Guidelines when defining missing methods with metaprogramming
Metaprogramming is a way to define methods **at runtime**, instead of at the time of writing and deploying the code. It is a powerful tool, but can be dangerous if we allow untrusted actors (like users) to define their own arbitrary methods. For example, imagine we accidentally let an attacker overwrite an access control method to always return true! It can lead to many classes of vulnerabilities such as access control bypass, information disclosure, arbitrary file reads, and remote code execution.
Key methods to watch out for are `method_missing`, `define_method`, `delegate`, and similar methods.
### Insecure metaprogramming example
This example is adapted from an example submitted by [@jobert](https://hackerone.com/jobert?type=user) through our HackerOne bug bounty program.
Thank you for your contribution!
Before Ruby 2.5.1, you could implement delegators using the `delegate` or `method_missing` methods. For example:
```ruby
class User
def initialize(attributes)
@options = OpenStruct.new(attributes)
end
def is_admin?
name.eql?("Sid") # Note - never do this!
end
def method_missing(method, *args)
@options.send(method, *args)
end
end
```
When a method was called on a `User` instance that didn't exist, it passed it along to the `@options` instance variable.
```ruby
User.new({name: "Jeeves"}).is_admin?
# => false
User.new(name: "Sid").is_admin?
# => true
User.new(name: "Jeeves", "is_admin?" => true).is_admin?
# => false
```
Because the `is_admin?` method is already defined on the class, its behavior is not overridden when passing `is_admin?` to the initializer.
This class can be refactored to use the `Forwardable` method and `def_delegators`:
```ruby
class User
extend Forwardable
def initialize(attributes)
@options = OpenStruct.new(attributes)
self.class.instance_eval do
def_delegators :@options, *attributes.keys
end
end
def is_admin?
name.eql?("Sid") # Note - never do this!
end
end
```
It might seem like this example has the same behavior as the first code example. However, there's one crucial difference: **because the delegators are meta-programmed after the class is loaded, it can overwrite existing methods**:
```ruby
User.new({name: "Jeeves"}).is_admin?
# => false
User.new(name: "Sid").is_admin?
# => true
User.new(name: "Jeeves", "is_admin?" => true).is_admin?
# => true
# ^------------------ The method is overwritten! Sneaky Jeeves!
```
In the example above, the `is_admin?` method is overwritten when passing it to the initializer.
### Best practices
- Never pass user-provided details into method-defining metaprogramming methods.
- If you must, be **very** confident that you've sanitized the values correctly.
Consider creating an allowlist of values, and validating the user input against that.
- When extending classes that use metaprogramming, make sure you don't inadvertently override any method definition safety checks.
## Working with archive files
Working with archive files like `zip`, `tar`, `jar`, `war`, `cpio`, `apk`, `rar` and `7z` presents an area where potentially critical security vulnerabilities can sneak into an application.
### Zip Slip
In 2018, the security company Snyk [released a blog post](https://snyk.io/research/zip-slip-vulnerability) describing research into a widespread and critical vulnerability present in many libraries and applications which allows an attacker to overwrite arbitrary files on the server file system which, in many cases, can be leveraged to achieve remote code execution. The vulnerability was dubbed Zip Slip.
A Zip Slip vulnerability happens when an application extracts an archive without validating and sanitizing the filenames inside the archive for directory traversal sequences that change the file location when the file is extracted.
Example malicious file names:
- `../../etc/passwd`
- `../../root/.ssh/authorized_keys`
- `../../etc/gitlab/gitlab.rb`
If a vulnerable application extracts an archive file with any of these file names, the attacker can overwrite these files with arbitrary content.
### Insecure archive extraction examples
#### Ruby
For zip files, the [`rubyzip`](https://rubygems.org/gems/rubyzip) Ruby gem is already patched against the Zip Slip vulnerability and will refuse to extract files that try to perform directory traversal, so for this vulnerable example we will extract a `tar.gz` file with `Gem::Package::TarReader`:
```ruby
# Vulnerable tar.gz extraction example!
begin
tar_extract = Gem::Package::TarReader.new(Zlib::GzipReader.open("/tmp/uploaded.tar.gz"))
rescue Errno::ENOENT
STDERR.puts("archive file does not exist or is not readable")
exit(false)
end
tar_extract.rewind
tar_extract.each do |entry|
next unless entry.file? # Only process files in this example for simplicity.
destination = "/tmp/extracted/#{entry.full_name}" # Oops! We blindly use the entry file name for the destination.
File.open(destination, "wb") do |out|
out.write(entry.read)
end
end
```
#### Go
```golang
// unzip INSECURELY extracts source zip file to destination.
func unzip(src, dest string) error {
r, err := zip.OpenReader(src)
if err != nil {
return err
}
defer r.Close()
os.MkdirAll(dest, 0750)
for _, f := range r.File {
if f.FileInfo().IsDir() { // Skip directories in this example for simplicity.
continue
}
rc, err := f.Open()
if err != nil {
return err
}
defer rc.Close()
path := filepath.Join(dest, f.Name) // Oops! We blindly use the entry file name for the destination.
os.MkdirAll(filepath.Dir(path), f.Mode())
f, err := os.OpenFile(path, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, f.Mode())
if err != nil {
return err
}
defer f.Close()
if _, err := io.Copy(f, rc); err != nil {
return err
}
}
return nil
}
```
#### Best practices
Always expand the destination file path by resolving all potential directory traversals and other sequences that can alter the path and refuse extraction if the final destination path does not start with the intended destination directory.
##### Ruby
```ruby
# tar.gz extraction example with protection against Zip Slip attacks.
begin
tar_extract = Gem::Package::TarReader.new(Zlib::GzipReader.open("/tmp/uploaded.tar.gz"))
rescue Errno::ENOENT
STDERR.puts("archive file does not exist or is not readable")
exit(false)
end
tar_extract.rewind
tar_extract.each do |entry|
next unless entry.file? # Only process files in this example for simplicity.
# safe_destination will raise an exception in case of Zip Slip / directory traversal.
destination = safe_destination(entry.full_name, "/tmp/extracted")
File.open(destination, "wb") do |out|
out.write(entry.read)
end
end
def safe_destination(filename, destination_dir)
raise "filename cannot start with '/'" if filename.start_with?("/")
destination_dir = File.realpath(destination_dir)
destination = File.expand_path(filename, destination_dir)
raise "filename is outside of destination directory" unless
destination.start_with?(destination_dir + "/"))
destination
end
```
```ruby
# zip extraction example using rubyzip with built-in protection against Zip Slip attacks.
require 'zip'
Zip::File.open("/tmp/uploaded.zip") do |zip_file|
zip_file.each do |entry|
# Extract entry to /tmp/extracted directory.
entry.extract("/tmp/extracted")
end
end
```
##### Go
You are encouraged to use the secure archive utilities provided by [LabSec](https://gitlab.com/gitlab-com/gl-security/appsec/labsec) which will handle Zip Slip and other types of vulnerabilities for you. The LabSec utilities are also context aware which makes it possible to cancel or timeout extractions:
```golang
package main
import "gitlab-com/gl-security/appsec/labsec/archive/zip"
func main() {
f, err := os.Open("/tmp/uploaded.zip")
if err != nil {
panic(err)
}
defer f.Close()
fi, err := f.Stat()
if err != nil {
panic(err)
}
if err := zip.Extract(context.Background(), f, fi.Size(), "/tmp/extracted"); err != nil {
panic(err)
}
}
```
In case the LabSec utilities do not fit your needs, here is an example for extracting a zip file with protection against Zip Slip attacks:
```golang
// unzip extracts source zip file to destination with protection against Zip Slip attacks.
func unzip(src, dest string) error {
r, err := zip.OpenReader(src)
if err != nil {
return err
}
defer r.Close()
os.MkdirAll(dest, 0750)
for _, f := range r.File {
if f.FileInfo().IsDir() { // Skip directories in this example for simplicity.
continue
}
rc, err := f.Open()
if err != nil {
return err
}
defer rc.Close()
path := filepath.Join(dest, f.Name)
// Check for Zip Slip / directory traversal
if !strings.HasPrefix(path, filepath.Clean(dest) + string(os.PathSeparator)) {
return fmt.Errorf("illegal file path: %s", path)
}
os.MkdirAll(filepath.Dir(path), f.Mode())
f, err := os.OpenFile(path, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, f.Mode())
if err != nil {
return err
}
defer f.Close()
if _, err := io.Copy(f, rc); err != nil {
return err
}
}
return nil
}
```
### Symlink attacks
Symlink attacks makes it possible for an attacker to read the contents of arbitrary files on the server of a vulnerable application. While it is a high-severity vulnerability that can often lead to remote code execution and other critical vulnerabilities, it is only exploitable in scenarios where a vulnerable application accepts archive files from the attacker and somehow displays the extracted contents back to the attacker without any validation or sanitization of symbolic links inside the archive.
### Insecure archive symlink extraction examples
#### Ruby
For zip files, the [`rubyzip`](https://rubygems.org/gems/rubyzip) Ruby gem is already patched against symlink attacks as it simply ignores symbolic links, so for this vulnerable example we will extract a `tar.gz` file with `Gem::Package::TarReader`:
```ruby
# Vulnerable tar.gz extraction example!
begin
tar_extract = Gem::Package::TarReader.new(Zlib::GzipReader.open("/tmp/uploaded.tar.gz"))
rescue Errno::ENOENT
STDERR.puts("archive file does not exist or is not readable")
exit(false)
end
tar_extract.rewind
# Loop over each entry and output file contents
tar_extract.each do |entry|
next if entry.directory?
# Oops! We don't check if the file is actually a symbolic link to a potentially sensitive file.
puts entry.read
end
```
#### Go
```golang
// printZipContents INSECURELY prints contents of files in a zip file.
func printZipContents(src string) error {
r, err := zip.OpenReader(src)
if err != nil {
return err
}
defer r.Close()
// Loop over each entry and output file contents
for _, f := range r.File {
if f.FileInfo().IsDir() {
continue
}
rc, err := f.Open()
if err != nil {
return err
}
defer rc.Close()
// Oops! We don't check if the file is actually a symbolic link to a potentially sensitive file.
buf, err := ioutil.ReadAll(rc)
if err != nil {
return err
}
fmt.Println(buf.String())
}
return nil
}
```
#### Best practices
Always check the type of the archive entry before reading the contents and ignore entries that are not plain files. If you absolutely must support symbolic links, ensure that they only point to files inside the archive and nowhere else.
##### Ruby
```ruby
# tar.gz extraction example with protection against symlink attacks.
begin
tar_extract = Gem::Package::TarReader.new(Zlib::GzipReader.open("/tmp/uploaded.tar.gz"))
rescue Errno::ENOENT
STDERR.puts("archive file does not exist or is not readable")
exit(false)
end
tar_extract.rewind
# Loop over each entry and output file contents
tar_extract.each do |entry|
next if entry.directory?
# By skipping symbolic links entirely, we are sure they can't cause any trouble!
next if entry.symlink?
puts entry.read
end
```
##### Go
You are encouraged to use the secure archive utilities provided by [LabSec](https://gitlab.com/gitlab-com/gl-security/appsec/labsec) which will handle Zip Slip and symlink vulnerabilities for you. The LabSec utilities are also context aware which makes it possible to cancel or timeout extractions.
In case the LabSec utilities do not fit your needs, here is an example for extracting a zip file with protection against symlink attacks:
```golang
// printZipContents prints contents of files in a zip file with protection against symlink attacks.
func printZipContents(src string) error {
r, err := zip.OpenReader(src)
if err != nil {
return err
}
defer r.Close()
// Loop over each entry and output file contents
for _, f := range r.File {
if f.FileInfo().IsDir() {
continue
}
// By skipping all irregular file types (including symbolic links), we are sure they can't cause any trouble!
if !zf.Mode().IsRegular() {
continue
}
rc, err := f.Open()
if err != nil {
return err
}
defer rc.Close()
buf, err := ioutil.ReadAll(rc)
if err != nil {
return err
}
fmt.Println(buf.String())
}
return nil
}
```
## Time of check to time of use bugs
Time of check to time of use, or TOCTOU, is a class of error which occur when the state of something changes unexpectedly partway during a process.
More specifically, it's when the property you checked and validated has changed when you finally get around to using that property.
These types of bugs are often seen in environments which allow multi-threading and concurrency, like filesystems and distributed web applications; these are a type of race condition. TOCTOU also occurs when state is checked and stored, then after a period of time that state is relied on without re-checking its accuracy and/or validity.
### Examples
**Example 1:** you have a model which accepts a URL as input. When the model is created you verify that the URL's host resolves to a public IP address, to prevent attackers making internal network calls. But DNS records can change ([DNS rebinding](#server-side-request-forgery-ssrf)]). An attacker updates the DNS record to `127.0.0.1`, and when your code resolves those URL's host it results in sending a potentially malicious request to a server on the internal network. The property was valid at the "time of check", but invalid and malicious at "time of use".
GitLab-specific example can be found in [this issue](https://gitlab.com/gitlab-org/gitlab/-/issues/214401) where, although `Gitlab::UrlBlocker.validate!` was called, the returned value was not used. This made it vulnerable to TOCTOU bug and SSRF protection bypass through [DNS rebinding](#server-side-request-forgery-ssrf). The fix was to [use the validated IP address](https://gitlab.com/gitlab-org/gitlab/-/commit/7af8abd4df9a98f7a1ae7c4ec9840d0a7a8c684d).
**Example 2:** you have a feature which schedules jobs. When the user schedules the job, they have permission to do so. But imagine if, between the time they schedule the job and the time it is run, their permissions are restricted. Unless you re-check permissions at time of use, you could inadvertently allow unauthorized activity.
**Example 3:** you need to fetch a remote file, and perform a `HEAD` request to get and validate the content length and content type. When you subsequently make a `GET` request, though, the file delivered is a different size or different file type. (This is stretching the definition of TOCTOU, but things _have_ changed between time of check and time of use).
**Example 4:** you allow users to upvote a comment if they haven't already. The server is multi-threaded, and you aren't using transactions or an applicable database index. By repeatedly clicking upvote in quick succession a malicious user is able to add multiple upvotes: the requests arrive at the same time, the checks run in parallel and confirm that no upvote exists yet, and so each upvote is written to the database.
Here's some pseudocode showing an example of a potential TOCTOU bug:
```ruby
def upvote(comment, user)
# The time between calling .exists? and .create can lead to TOCTOU,
# particularly if .create is a slow method, or runs in a background job
if Upvote.exists?(comment: comment, user: user)
return
else
Upvote.create(comment: comment, user: user)
end
end
```
### Prevention & defense
- Assume values will change between the time you validate them and the time you use them.
- Perform checks as close to execution time as possible.
- Perform checks after your operation completes.
- Use your framework's validations and database features to impose constraints and atomic reads and writes.
- Read about [Server Side Request Forgery (SSRF) and DNS rebinding](#server-side-request-forgery-ssrf)
An example of well implemented `Gitlab::UrlBlocker.validate!` call that prevents TOCTOU bug:
1. [Preventing DNS rebinding in Gitea importer](https://gitlab.com/gitlab-org/gitlab/-/commit/7af8abd4df9a98f7a1ae7c4ec9840d0a7a8c684d)
### Resources
- [CWE-367: Time-of-check Time-of-use (TOCTOU) Race Condition](https://cwe.mitre.org/data/definitions/367.html)
## Handling credentials
Credentials can be:
- Login details like username and password.
- Private keys.
- Tokens (PAT, runner tokens, JWT token, CSRF tokens, project access tokens, etc).
- Session cookies.
- Any other piece of information that can be used for authentication or authorization purposes.
This sensitive data must be handled carefully to avoid leaks which could lead to unauthorized access. If you have questions or need help with any of the following guidance, talk to the GitLab AppSec team on Slack (`#sec-appsec`).
### At rest
- Credentials must be encrypted while at rest (database or file) with `attr_encrypted`. See [issue #26243](https://gitlab.com/gitlab-org/gitlab/-/issues/26243) before using `attr_encrypted`.
- Store the encryption keys separately from the encrypted credentials with proper access control. For instance, store the keys in a vault, KMS, or file. Here is an [example](https://gitlab.com/gitlab-org/gitlab/-/blob/master/app/models/user.rb#L70-74) use of `attr_encrypted` for encryption with keys stored in separate access controlled file.
- When the intention is to only compare secrets, store only the salted hash of the secret instead of the encrypted value.
- Never commit credentials to repositories.
- The [Gitleaks Git hook](https://gitlab.com/gitlab-com/gl-security/security-research/gitleaks-endpoint-installer) is recommended for preventing credentials from being committed.
- Never log credentials under any circumstance. Issue [#353857](https://gitlab.com/gitlab-org/gitlab/-/issues/353857) is an example of credential leaks through log file.
- When credentials are required in a CI/CD job, use [masked variables](../ci/variables/index.md#mask-a-cicd-variable) to help prevent accidental exposure in the job logs. Be aware that when [debug logging](../ci/variables/index.md#debug-logging) is enabled, all masked CI/CD variables are visible in job logs. Also consider using [protected variables](../ci/variables/index.md#protected-cicd-variables) when possible so that sensitive CI/CD variables are only available to pipelines running on protected branches or protected tags.
- Proper scanners must be enabled depending on what data those credentials are protecting. See the [Application Security Inventory Policy](https://about.gitlab.com/handbook/engineering/security/security-engineering-and-research/application-security/inventory.html#policies) and our [Data Classification Standards](https://about.gitlab.com/handbook/engineering/security/data-classification-standard.html#data-classification-standards).
- To store and/or share credentials between teams, refer to [1Password for Teams](https://about.gitlab.com/handbook/security/#1password-for-teams) and follow [the 1Password Guidelines](https://about.gitlab.com/handbook/security/#1password-guidelines).
- If you need to share a secret with a team member, use 1Password. Do not share a secret over email, Slack, or other service on the Internet.
### In transit
- Use an encrypted channel like TLS to transmit credentials. See [our TLS minimum recommendation guidelines](#tls-minimum-recommended-version).
- Avoid including credentials as part of an HTTP response unless it is absolutely necessary as part of the workflow. For example, generating a PAT for users.
- Avoid sending credentials in URL parameters, as these can be more easily logged inadvertently during transit.
In the event of credential leak through an MR, issue, or any other medium, [reach out to SIRT team](https://about.gitlab.com/handbook/engineering/security/security-operations/sirt/#-engaging-sirt).
## Serialization
Serialization of active record models can leak sensitive attributes if they are not protected.
Using the [`prevent_from_serialization`](https://gitlab.com/gitlab-org/gitlab/-/blob/d7b85128c56cc3e669f72527d9f9acc36a1da95c/app/models/concerns/sensitive_serializable_hash.rb#L11)
method protects the attributes when the object is serialized with `serializable_hash`.
When an attribute is protected with `prevent_from_serialization`, it is not included with
`serializable_hash`, `to_json`, or `as_json`.
For more guidance on serialization:
- [Why using a serializer is important](https://gitlab.com/gitlab-org/gitlab/-/blob/master/app/serializers/README.md#why-using-a-serializer-is-important).
- Always use [Grape entities](../../ee/development/api_styleguide.md#entities) for the API.
To `serialize` an `ActiveRecord` column:
- You can use `app/serializers`.
- You cannot use `to_json / as_json`.
- You cannot use `serialize :some_colum`.
### Serialization example
The following is an example used for the [`TokenAuthenticatable`](https://gitlab.com/gitlab-org/gitlab/-/blob/9b15c6621588fce7a80e0438a39eeea2500fa8cd/app/models/concerns/token_authenticatable.rb#L30) class:
```ruby
prevent_from_serialization(*strategy.token_fields) if respond_to?(:prevent_from_serialization)
```
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